The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 88-133
Full Name: Mahmoud Iskandarani
Position: Associate Professor
Age: ON
Sex: Male
Address: Alzaytoonah Private University of Jordan, P O BOX: 911597, Postcode: 11191, Amman
Country: JORDAN
Tel: 776666501
Tel prefix: 00962
Fax: 4291511
E-mail address: m_iskandarani@yahoo.com
Other E-mails:
Title of the Paper: Application of Unified Smart Classification and Modified Weight Elimination Algorithms to Damage Evaluation in Composite Structures
Authors as they appear in the Paper: Mahmoud Z. Iskandarani
Email addresses of all the authors: m_iskandarani@yahoo.com
Number of paper pages: 10
Abstract: Unified Smart Classification Algorithm (USCA) for the purpose of data processing and classification of data obtained from different testing techniques is designed and tested. The developed algorithm conditions data taken from damaged composite structures such as modern car bodies and Plane frame structure. It is used in conjunction with a Modified Weight Elimination Neural Networks Algorithm (MWEA) to provide predictive models for impact damage in composite structures. The developed neural models correlated between various NDT testing techniques, such that in the absence of one technique, its results are predicted by the Neural Network through interrogation of available data obtained using other testing methods. The real and predicted data showed good agreements in terms of classification and prediction.
Keywords: Neural Networks, Classification, Damage, Composites, Algorithm, Prediction, Weight
EXTENSION of the file: .doc
Special (Invited) Session: Application of Neural Networks to Damage Classification in Composite Structures
Organizer of the Session: 646-198
How Did you learn about congress:
IP ADDRESS: 213.186.168.146
